Mimir October 2025 Community Call
Let's talk about discuss Mimir! Specifically we'll discuss Mimir 3.0, which is coming soon.
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The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.
How to Identify Network Bottlenecks: From Snail Mail to Warp Speed
Welcome, network admins and IT pros, to a world where network bottlenecks become nothing more than a distant memory. In an era where the need for speed is paramount, identifying and eliminating network bottlenecks is the key to achieving warp-speed connectivity. Your network is like a bustling metropolis, with data zipping through its veins like cars on a busy highway. But suddenly, the flow slows down to a snail's pace, causing frustration and hindering productivity.
September product updates
September was a busy month at StatusGator! We rolled out several major updates designed to give you more visibility, better integrations, and deeper control of your monitoring workflows. From new Early Warning Signal integrations to AWS Health support — plus our biggest API release yet — here’s a quick recap of everything we shipped last month.
Why Citrix VAD/DaaS Customers Using VMware Should Consider Migrating to XenServer
For years, VMware vSphere was the undisputed leader in enterprise virtualization. Its reliability, feature set, and ecosystem made it the go-to hypervisor for organizations. Also for organizations running Citrix Virtual Apps and Desktops (VAD) or Citrix DaaS, VMware was synonymous with virtualization excellence. But the landscape has changed, dramatically. If you're still running your Citrix workloads on VMware, it's time to take a serious look at XenServer, and here's why.
AI for Network Leaders by Selector - Strategic Imperatives in an AI World by William Collins
Strategic Imperatives for Infrastructure Leaders in an AI-Enabled World William Collins, Director of Technical Evangelism at Itential, explores the strategic imperatives facing infrastructure leaders in today’s AI-enabled world. He unpacks the Gartner Hype Cycle, the true monetary costs of network downtime, and shows how Itential + Selector can close the loop on AIOps with autonomous agents and MCPs.
AI for Network Leaders by Selector - Building Your First RAG App by John Capobianco
Building Your First GenAI RAG Application John Capobianco, Head of Developer Relations at Selector, walks through a 6-step process for building your first GenAI RAG application. From foundational building blocks to the path toward full AI agents, RAG remains a powerful tool with huge ROI. Even in a world of autonomous agents and MCPs, RAG is still one of the best ways for network engineers and IT leaders to query dozens of sources and unlock real value.
AI for Network Leaders by Selector - AI Agents and MCP by John Capobianco
AI Agents & Model Context Protocol John Capobianco, Head of Developer Relations at Selector, dives deep into AI Agents and the Model Context Protocol (MCP). In this session, John demonstrates Selector MCP in action — running as a client-server, connecting multimodal inputs, and even talking to Selector using microphone + TTS audio via Gemini CLI. He also showcases Sebastian Maniak’s Claude Desktop integration, where Selector MCP powers a chatGPT-like UI for network engineers. A practical look at how MCP is transforming AI into a true digital co-worker.
AI for Network Leaders by Selector - Round Table discussion
AI Leaders in Networking Roundtable | Greg Freeman, Du’An Lightfoot, Jeremy Shulman, William Collins, Scott Robohn & John Capobianco (Moderator)
Announcing Scout's MCP Server for AI-Native Monitoring!
We’re excited to introduce the Scout Monitoring MCP Server — a new way to bring AI-native monitoring directly into your coding assistant. Instead of flipping between dashboards and logs, the MCP (Model Context Protocol) server surfaces performance data, errors, and slow endpoints right where you work. Ask plain-language questions like “show me the latest five errors” and get answers grounded in live telemetry. You can even let your coding assistant propose and push fixes!
Debugging Microservices in Production with Distributed Tracing
Your production checkout flow just started returning 500 errors. Six microservices handle checkout. Logs show errors in three of them. Which service broke? Which error happened first? What caused the cascade? Traditional debugging doesn't work. You can't attach a debugger to production. Searching logs across six services gives thousands of lines with no obvious connection. By the time you correlate timestamps and trace IDs manually, customers have abandoned their carts.